Instructions to use AaronTekle/SQLQwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AaronTekle/SQLQwen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "AaronTekle/SQLQwen") - Notebooks
- Google Colab
- Kaggle
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README.md
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| Final evaluation loss | **0.2200** |
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| Final evaluation token accuracy | **93.54%** |
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| Best checkpoint | **2,400** |
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| Training runtime | **~1h 35m** |
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Training was completed locally on an **NVIDIA GeForce RTX 3050**.
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| Final evaluation loss | **0.2200** |
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| Final evaluation token accuracy | **93.54%** |
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| Best checkpoint | **2,400** |
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Training was completed locally on an **NVIDIA GeForce RTX 3050**.
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